Claude 3.7 Sonnet vs Mistral Large 3 Instruct: which model should you choose?
We compared Claude 3.7 Sonnet and Mistral Large 3 Instruct on price, context window and 12 benchmarks. Claude 3.7 Sonnet has the stronger average benchmark score; Mistral Large 3 Instruct is cheaper on a blended 3:1 basis.
Claude 3.7 Sonnet
Claude 3.7 Sonnet is a multimodal model from Anthropic. It offers a 200,000-token context window, costs $14.91 per million input tokens and $74.27 per million output tokens, and averages 81.6 across the index's benchmark suite.
- Input
- $14.91 / 1M
- Output
- $74.27 / 1M
- Context
- 200,000
- Avg score
- 81.6
- Open weights
- No
Mistral Large 3 Instruct
Mistral Large 3 Instruct is a multimodal model from Mistral AI. It offers a 400,000-token context window, costs $5.31 per million input tokens and $22.47 per million output tokens, and averages 81.1 across the index's benchmark suite.
- Input
- $5.31 / 1M
- Output
- $22.47 / 1M
- Context
- 400,000
- Avg score
- 81.1
- Open weights
- Yes
Specification comparison
| Spec | Claude 3.7 Sonnet | Mistral Large 3 Instruct | Edge |
|---|---|---|---|
| Input price / 1M | $14.91 | $5.31 | B |
| Output price / 1M | $74.27 | $22.47 | B |
| Context window | 200,000 | 400,000 | B |
| Max output | 128,000 | 65,536 | A |
| Average score | 81.6 | 81.1 | A |
| Arena Elo | 1451.9 | 1446.2 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Claude 3.7 Sonnet wins 7, Mistral Large 3 Instruct wins 5, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude 3.7 Sonnet | Mistral Large 3 Instruct | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 83.5 | 82.3 | 1.2 | Claude 3.7 Sonnet |
| GPQA Diamond | 80.2 | 79.8 | 0.4 | Claude 3.7 Sonnet |
| SWE-bench Verified | 70.1 | 71.9 | 1.8 | Mistral Large 3 Instruct |
| HumanEval | 85.7 | 84.2 | 1.5 | Claude 3.7 Sonnet |
| MATH-500 | 88.9 | 83.4 | 5.5 | Claude 3.7 Sonnet |
| AIME 2025 | 81.2 | 76.2 | 5.0 | Claude 3.7 Sonnet |
| LiveCodeBench | 75.0 | 75.1 | 0.1 | Mistral Large 3 Instruct |
| IFEval | 88.5 | 87.6 | 0.9 | Claude 3.7 Sonnet |
| TruthfulQA | 81.7 | 85.5 | 3.8 | Mistral Large 3 Instruct |
| HellaSwag | 87.6 | 89.1 | 1.5 | Mistral Large 3 Instruct |
| MMMU | 75.5 | 76.5 | 1.0 | Mistral Large 3 Instruct |
| Arena Elo | 1451.9 | 1446.2 | 5.7 | Claude 3.7 Sonnet |
Price analysis
On a blended 3:1 input-to-output basis, Claude 3.7 Sonnet costs about $29.75 per million tokens and Mistral Large 3 Instruct costs about $9.60. Mistral Large 3 Instruct is roughly 68% cheaper than Claude 3.7 Sonnet. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
Mistral Large 3 Instruct has the larger context window at 400,000 tokens, compared with 200,000 for Claude 3.7 Sonnet. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude 3.7 Sonnet wins 7, Mistral Large 3 Instruct wins 5, and 0 are tied. On the index average, Claude 3.7 Sonnet leads Mistral Large 3 Instruct by 0.5 points (81.6 versus 81.1).
The price picture favours Mistral Large 3 Instruct. The context picture favours Mistral Large 3 Instruct. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with Claude 3.7 Sonnet for quality-sensitive work and Mistral Large 3 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.
Choose Claude 3.7 Sonnet if
- You want the higher average benchmark score in this index.
- You need the larger 128,000-token output limit.
Choose Mistral Large 3 Instruct if
- Unit cost matters and you want the cheaper blended price.
- You need the larger 400,000-token context window.
- You need open weights for self-hosting or fine-tuning.
FAQ
Is Claude 3.7 Sonnet better than Mistral Large 3 Instruct?
On the index average, Claude 3.7 Sonnet leads Mistral Large 3 Instruct by 0.5 points (81.6 versus 81.1). The better choice depends on price, context and your task. Claude 3.7 Sonnet wins 7 benchmarks, Mistral Large 3 Instruct wins 5.
Which is cheaper, Claude 3.7 Sonnet or Mistral Large 3 Instruct?
Mistral Large 3 Instruct is cheaper on a blended 3:1 basis at about $9.60 per million tokens, versus $29.75 for Claude 3.7 Sonnet.
Which has the larger context window?
Mistral Large 3 Instruct has the larger context window at 400,000 tokens. Claude 3.7 Sonnet has 200,000 tokens.
Are these models open weights?
Claude 3.7 Sonnet is proprietary; Mistral Large 3 Instruct is open weights.
Which should I choose for production?
If you need a single default, start with Claude 3.7 Sonnet for quality-sensitive work and Mistral Large 3 Instruct for high-volume, well-scoped tasks. Run both on a sample of your own traffic before locking in a choice.